adacam-api

Clean Python Flask replacement for Hivemapper's odc-api — a 434k-line Node.js monolith with a filed CVE. This service runs on the Hivemapper Bee (HDC-S) dashcam as part of the adacam liberation stack.

What it does

• Serves API endpoints for the Varroa Android app and adamaps-forwarder
• Reads GPS data from Redis (GNSSFusion30Hz)
• Stores landmark detections in SQLite
• Forwards detections to AdaMaps API (with offline queuing)

Endpoints

Method	Path	Description
GET	/api/1/landmarks/last/{N}	Last N detections
POST	/api/1/landmarks	Ingest new detection
GET	/api/1/gnssConcise/latestValid	Current GPS fix
GET	/api/1/status	Device status
GET	/api/1/deviceinfo	Device identity
GET	/api/1/recording/frames/latest	Latest frame path

Note: /api/1/cmd is intentionally NOT implemented — that was the CVE.

Installation

./install.sh

This will:

1. Copy files to /opt/adacam/
2. Install Python dependencies
3. Enable and start the systemd service
4. Generate a device ID on first run

Configuration

Config file: /data/adacam/config.json

{
  "device_id": "auto-generated UUID",
  "adamaps_key": "<your-adamaps-ingest-key>",
  "adamaps_api": "https://api.adamaps.org",
  "ap_interface": "wlp1s0f0",
  "tunnel_host": "",
  "tunnel_user": "",
  "tunnel_port": 2222
}

Requirements

• Python 3.8+
• Redis (for GPS/IMU data)
• Flask, redis-py, requests

License

MIT